smartcor - Automatic Correlation Method Selection Based on Variable Types

Detects variable types (continuous, count, binary, ordinal, categorical), checks outliers, normality, latent normality, and linearity, and selects the appropriate correlation method for each pair. Supports 18 methods: Pearson, Spearman, Kendall's tau, point-biserial, biserial, rank-biserial, phi, tetrachoric, Yule's Q, polychoric, polyserial, Goodman-Kruskal's gamma, the correlation ratio (eta-squared), Kruskal-Wallis eta-squared, Freeman's theta, Cramer's V, Tschuprow's T, and Theil's U, each with a confidence interval and p-value. Explains the selection rationale in the output, follows tidy data principles, and works in both interactive and scripted workflows. The methodology is described in Harshvardhan and Ranjan (2026) <doi:10.48550/arXiv.2607.22285>.